test_now

This is a BERTopic model. BERTopic is a flexible and modular topic modeling framework that allows for the generation of easily interpretable topics from large datasets.

Usage

To use this model, please install BERTopic:

pip install -U bertopic

You can use the model as follows:

from bertopic import BERTopic
topic_model = BERTopic.load("sneakykilli/test_now")

topic_model.get_topic_info()

Topic overview

• Number of topics: 56
• Number of training documents: 5134

Click here for an overview of all topics.

Topic ID	Topic Keywords	Topic Frequency	Label
-1	killiair - flight - service - customer - staff	10	-1_killiair_flight_service_customer
0	bag - luggage - bags - cabin - pay	2257	0_bag_luggage_bags_cabin
1	cancelled - flight - refund - flights - customer	406	1_cancelled_flight_refund_flights
2	killiair - killiairs - great - airways - good	157	2_killiair_killiairs_great_airways
3	worst - cheap - killiair - bad - prices	156	3_worst_cheap_killiair_bad
4	check - verification - online - killiair - booking	142	4_check_verification_online_killiair
5	doha - airways - flight - hours - killiair	107	5_doha_airways_flight_hours
6	delay - delays - delayed - late - hours	105	6_delay_delays_delayed_late
7	holiday - holidays - hotel - booked - package	104	7_holiday_holidays_hotel_booked
8	seats - seat - allocated - extra - row	92	8_seats_seat_allocated_extra
9	ryan - air - check - company - gate	89	9_ryan_air_check_company
10	check - 55 - online - boarding - pass	86	10_check_55_online_boarding
11	jet - easy - flight - cancelled - holiday	84	11_jet_easy_flight_cancelled
12	delayed - time - killiair - delay - flights	84	12_delayed_time_killiair_delay
13	airport - flight - hours - delayed - plane	83	13_airport_flight_hours_delayed
14	thank - amazing - crew - thanks - professional	63	14_thank_amazing_crew_thanks
15	food - meal - dubai - served - crew	62	15_food_meal_dubai_served
16	refund - ticket - killiair - tickets - request	60	16_refund_ticket_killiair_tickets
17	luggage - lost - airways - bag - baggage	56	17_luggage_lost_airways_bag
18	customer - service - terrible - worst - services	53	18_customer_service_terrible_worst
19	gatwick - flight - delayed - luton - plane	53	19_gatwick_flight_delayed_luton
20	clean - food - toilets - water - seat	49	20_clean_food_toilets_water
21	stressstress - stress - star - stars - zero	47	21_stressstress_stress_star_stars
22	lost - luggage - baggage - suitcase - later	45	22_lost_luggage_baggage_suitcase
23	seats - seat - paid - legroom - extra	40	23_seats_seat_paid_legroom
24	car - hire - rental - insurance - card	40	24_car_hire_rental_insurance
25	stansted - parking - airport - flight - lanzarote	39	25_stansted_parking_airport_flight
26	service - customer - perfume - killiair - company	33	26_service_customer_perfume_killiair
27	star - zero - killiair - stars - option	32	27_star_zero_killiair_stars
28	seat - seats - sit - lady - plane	29	28_seat_seats_sit_lady
29	115 - change - ticket - mistake - letters	29	29_115_change_ticket_mistake
30	cancelled - flight - strike - 20pm - delayed	27	30_cancelled_flight_strike_20pm
31	hotel - compensation - cancelled - paris - airport	26	31_hotel_compensation_cancelled_paris
32	refund - booking - error - oct - wroclaw	26	32_refund_booking_error_oct
33	compensation - delayed - hours - delay - weather	25	33_compensation_delayed_hours_delay
34	dates - change - website - charge - ez	21	34_dates_change_website_charge
35	passport - date - son - gate - expiry	21	35_passport_date_son_gate
36	company - worst - greed - exist - die	20	36_company_worst_greed_exist
37	payment - app - cards - tried - website	20	37_payment_app_cards_tried
38	bristol - explanation - lisbon - delay - madrid	20	38_bristol_explanation_lisbon_delay
39	class - business - economy - upgrade - seats	20	39_class_business_economy_upgrade
40	killiair - queue - good - experience - need	20	40_killiair_queue_good_experience
41	fare - change - difference - cost - 49	20	41_fare_change_difference_cost
42	chat - ai - reach - info - chatbot	19	42_chat_ai_reach_info
43	death - certificate - family - wife - grandmother	15	43_death_certificate_family_wife
44	reviews - review - experiences - bad - write	15	44_reviews_review_experiences_bad
45	voucher - rune - residual - valid - booking	15	45_voucher_rune_residual_valid
46	rude - yiu - staff - impolite - treated	14	46_rude_yiu_staff_impolite
47	band - word - easy - sue - corporate	14	47_band_word_easy_sue
48	compensation - law - caa - claim - booker	13	48_compensation_law_caa_claim
49	good - sh - friendly - quibble - holes	13	49_good_sh_friendly_quibble
50	malaga - page - alicante - gibraltar - taxi	12	50_malaga_page_alicante_gibraltar
51	airways - customer - service - killiair - avoid	12	51_airways_customer_service_killiair
52	ej - jet - easy - hotel - home	12	52_ej_jet_easy_hotel
53	dhiman - cabin - sprayed - staff - friendly	11	53_dhiman_cabin_sprayed_staff
54	refund - cancelled - sas - days - alternate	11	54_refund_cancelled_sas_days

Training hyperparameters

• calculate_probabilities: False
• language: None
• low_memory: False
• min_topic_size: 10
• n_gram_range: (1, 1)
• nr_topics: None
• seed_topic_list: None
• top_n_words: 10
• verbose: False
• zeroshot_min_similarity: 0.7
• zeroshot_topic_list: None

Framework versions

• Numpy: 1.24.3
• HDBSCAN: 0.8.33
• UMAP: 0.5.5
• Pandas: 2.0.3
• Scikit-Learn: 1.2.2
• Sentence-transformers: 2.3.1
• Transformers: 4.36.2
• Numba: 0.57.1
• Plotly: 5.16.1
• Python: 3.10.12